Pub Date : 2023-10-19DOI: 10.1038/s41562-023-01722-6
Yi-Jun Ge, Bang-Sheng Wu, Yi Zhang, Shi-Dong Chen, Ya-Ru Zhang, Ju-Jiao Kang, Yue-Ting Deng, Ya-Nan Ou, Xiao-Yu He, Yong-Li Zhao, Kevin Kuo, Qing Ma, Tobias Banaschewski, Gareth J. Barker, Arun L. W. Bokde, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Herve Lemaitre, Tomáš Paus, Luise Poustka, Sarah Hohmann, Sabina Millenet, Juliane H. Fröhner, Michael N. Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, IMAGEN Consortium, Jian-Feng Feng, Lan Tan, Qiang Dong, Gunter Schumann, Wei Cheng, Jin-Tai Yu
The cerebral ventricles are recognized as windows into brain development and disease, yet their genetic architectures, underlying neural mechanisms and utility in maintaining brain health remain elusive. Here we aggregated genetic and neuroimaging data from 61,974 participants (age range, 9 to 98 years) in five cohorts to elucidate the genetic basis of ventricular morphology and examined their overlap with neuropsychiatric traits. Genome-wide association analysis in a discovery sample of 31,880 individuals identified 62 unique loci and 785 candidate genes associated with ventricular morphology. We replicated over 80% of loci in a well-matched cohort of lateral ventricular volume. Gene set analysis revealed enrichment of ventricular-trait-associated genes in biological processes and disease pathogenesis during both early brain development and degeneration. We explored the age-dependent genetic associations in cohorts of different age groups to investigate the possible roles of ventricular-trait-associated loci in neurodevelopmental and neurodegenerative processes. We describe the genetic overlap between ventricular and neuropsychiatric traits through comprehensive integrative approaches under correlative and causal assumptions. We propose the volume of the inferior lateral ventricles as a heritable endophenotype to predict the risk of Alzheimer’s disease, which might be a consequence of prodromal Alzheimer’s disease. Our study provides an advance in understanding the genetics of the cerebral ventricles and demonstrates the potential utility of ventricular measurements in tracking brain disorders and maintaining brain health across the lifespan. A genome-wide association study of cerebral ventricle phenotypes finds 62 unique loci and reveals a genetic overlap between ventricular and neuropsychiatric traits.
{"title":"Genetic architectures of cerebral ventricles and their overlap with neuropsychiatric traits","authors":"Yi-Jun Ge, Bang-Sheng Wu, Yi Zhang, Shi-Dong Chen, Ya-Ru Zhang, Ju-Jiao Kang, Yue-Ting Deng, Ya-Nan Ou, Xiao-Yu He, Yong-Li Zhao, Kevin Kuo, Qing Ma, Tobias Banaschewski, Gareth J. Barker, Arun L. W. Bokde, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Herve Lemaitre, Tomáš Paus, Luise Poustka, Sarah Hohmann, Sabina Millenet, Juliane H. Fröhner, Michael N. Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, IMAGEN Consortium, Jian-Feng Feng, Lan Tan, Qiang Dong, Gunter Schumann, Wei Cheng, Jin-Tai Yu","doi":"10.1038/s41562-023-01722-6","DOIUrl":"10.1038/s41562-023-01722-6","url":null,"abstract":"The cerebral ventricles are recognized as windows into brain development and disease, yet their genetic architectures, underlying neural mechanisms and utility in maintaining brain health remain elusive. Here we aggregated genetic and neuroimaging data from 61,974 participants (age range, 9 to 98 years) in five cohorts to elucidate the genetic basis of ventricular morphology and examined their overlap with neuropsychiatric traits. Genome-wide association analysis in a discovery sample of 31,880 individuals identified 62 unique loci and 785 candidate genes associated with ventricular morphology. We replicated over 80% of loci in a well-matched cohort of lateral ventricular volume. Gene set analysis revealed enrichment of ventricular-trait-associated genes in biological processes and disease pathogenesis during both early brain development and degeneration. We explored the age-dependent genetic associations in cohorts of different age groups to investigate the possible roles of ventricular-trait-associated loci in neurodevelopmental and neurodegenerative processes. We describe the genetic overlap between ventricular and neuropsychiatric traits through comprehensive integrative approaches under correlative and causal assumptions. We propose the volume of the inferior lateral ventricles as a heritable endophenotype to predict the risk of Alzheimer’s disease, which might be a consequence of prodromal Alzheimer’s disease. Our study provides an advance in understanding the genetics of the cerebral ventricles and demonstrates the potential utility of ventricular measurements in tracking brain disorders and maintaining brain health across the lifespan. A genome-wide association study of cerebral ventricle phenotypes finds 62 unique loci and reveals a genetic overlap between ventricular and neuropsychiatric traits.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"8 1","pages":"164-180"},"PeriodicalIF":29.9,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49680179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-16DOI: 10.1038/s41562-023-01715-5
Mathew D. Hardy, Bill D. Thompson, P. M. Krafft, Thomas L. Griffiths
Large-scale social networks are thought to contribute to polarization by amplifying people’s biases. However, the complexity of these technologies makes it difficult to identify the mechanisms responsible and evaluate mitigation strategies. Here we show under controlled laboratory conditions that transmission through social networks amplifies motivational biases on a simple artificial decision-making task. Participants in a large behavioural experiment showed increased rates of biased decision-making when part of a social network relative to asocial participants in 40 independently evolving populations. Drawing on ideas from Bayesian statistics, we identify a simple adjustment to content-selection algorithms that is predicted to mitigate bias amplification by generating samples of perspectives from within an individual’s network that are more representative of the wider population. In two large experiments, this strategy was effective at reducing bias amplification while maintaining the benefits of information sharing. Simulations show that this algorithm can also be effective in more complex networks. Hardy and co-authors present a resampling strategy in social networks that is effective at reducing bias amplification while maintaining the benefits of information sharing.
{"title":"Resampling reduces bias amplification in experimental social networks","authors":"Mathew D. Hardy, Bill D. Thompson, P. M. Krafft, Thomas L. Griffiths","doi":"10.1038/s41562-023-01715-5","DOIUrl":"10.1038/s41562-023-01715-5","url":null,"abstract":"Large-scale social networks are thought to contribute to polarization by amplifying people’s biases. However, the complexity of these technologies makes it difficult to identify the mechanisms responsible and evaluate mitigation strategies. Here we show under controlled laboratory conditions that transmission through social networks amplifies motivational biases on a simple artificial decision-making task. Participants in a large behavioural experiment showed increased rates of biased decision-making when part of a social network relative to asocial participants in 40 independently evolving populations. Drawing on ideas from Bayesian statistics, we identify a simple adjustment to content-selection algorithms that is predicted to mitigate bias amplification by generating samples of perspectives from within an individual’s network that are more representative of the wider population. In two large experiments, this strategy was effective at reducing bias amplification while maintaining the benefits of information sharing. Simulations show that this algorithm can also be effective in more complex networks. Hardy and co-authors present a resampling strategy in social networks that is effective at reducing bias amplification while maintaining the benefits of information sharing.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"7 12","pages":"2084-2098"},"PeriodicalIF":29.9,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41237130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-16DOI: 10.1038/s41562-023-01719-1
Bonan Zhao, Christopher G. Lucas, Neil R. Bramley
To tackle a hard problem, it is often wise to reuse and recombine existing knowledge. Such an ability to bootstrap enables us to grow rich mental concepts despite limited cognitive resources. Here we present a computational model of conceptual bootstrapping. This model uses a dynamic conceptual repertoire that can cache and later reuse elements of earlier insights in principled ways, modelling learning as a series of compositional generalizations. This model predicts systematically different learned concepts when the same evidence is processed in different orders, without any extra assumptions about previous beliefs or background knowledge. Across four behavioural experiments (total n = 570), we demonstrate strong curriculum-order and conceptual garden-pathing effects that closely resemble our model predictions and differ from those of alternative accounts. Taken together, this work offers a computational account of how past experiences shape future conceptual discoveries and showcases the importance of curriculum design in human inductive concept inferences. Zhao et al. present a model of conceptual bootstrapping through which they model learning complex concepts by recursively combining simpler concepts.
{"title":"A model of conceptual bootstrapping in human cognition","authors":"Bonan Zhao, Christopher G. Lucas, Neil R. Bramley","doi":"10.1038/s41562-023-01719-1","DOIUrl":"10.1038/s41562-023-01719-1","url":null,"abstract":"To tackle a hard problem, it is often wise to reuse and recombine existing knowledge. Such an ability to bootstrap enables us to grow rich mental concepts despite limited cognitive resources. Here we present a computational model of conceptual bootstrapping. This model uses a dynamic conceptual repertoire that can cache and later reuse elements of earlier insights in principled ways, modelling learning as a series of compositional generalizations. This model predicts systematically different learned concepts when the same evidence is processed in different orders, without any extra assumptions about previous beliefs or background knowledge. Across four behavioural experiments (total n = 570), we demonstrate strong curriculum-order and conceptual garden-pathing effects that closely resemble our model predictions and differ from those of alternative accounts. Taken together, this work offers a computational account of how past experiences shape future conceptual discoveries and showcases the importance of curriculum design in human inductive concept inferences. Zhao et al. present a model of conceptual bootstrapping through which they model learning complex concepts by recursively combining simpler concepts.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"8 1","pages":"125-136"},"PeriodicalIF":29.9,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s41562-023-01719-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41237129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-12DOI: 10.1038/s41562-023-01728-0
O. Sarobidy Rakotonarivo, O. Ravaka Andriamihaja
{"title":"Global North–Global South research partnerships are still inequitable","authors":"O. Sarobidy Rakotonarivo, O. Ravaka Andriamihaja","doi":"10.1038/s41562-023-01728-0","DOIUrl":"10.1038/s41562-023-01728-0","url":null,"abstract":"","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"7 12","pages":"2042-2043"},"PeriodicalIF":29.9,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41207035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-12DOI: 10.1038/s41562-023-01739-x
Luis Cordeiro Rodrigues, Chimaraoke Izugbara, Mary Carman, Gideon A. J. van Dyk, Eric Umar
{"title":"Cultural competence must not leave anyone behind","authors":"Luis Cordeiro Rodrigues, Chimaraoke Izugbara, Mary Carman, Gideon A. J. van Dyk, Eric Umar","doi":"10.1038/s41562-023-01739-x","DOIUrl":"10.1038/s41562-023-01739-x","url":null,"abstract":"","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"7 12","pages":"2040-2041"},"PeriodicalIF":29.9,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41207034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-09DOI: 10.1038/s41562-023-01700-y
Joerg Baten, Giacomo Benati, Arkadiusz Sołtysiak
How did interpersonal violence develop in early human societies? Given that homicide records are only available for the more recent period, much of human history remains outside our purview. In this paper, we study violence trends in the very long run by exploiting a new dataset on cranial trauma and weapon-related wounds from skeletons excavated across the Middle East, spanning the pre-Classical period (around 12,000–400 bce). The dataset includes more than 3,500 individuals. We find evidence that interpersonal violence peaked during the Chalcolithic period (around 4,500–3,300 bce). It then steadily declined during the Early and Middle Bronze Ages (around 3,300–1,500 bce) and increased again between the Late Bronze and the Iron Age (1,500–400 bce). By documenting variations in violence patterns across a vast temporal and geographical scale in an incredibly rich historical setting, we broaden perspectives on the early history of human conflict. Using data on violence-related injuries in more than 3,500 excavated skeletons, Baten et al. reconstruct violence trends in the ancient Middle East from 12,000 to 400 bce, expanding the early history of conflict.
{"title":"Violence trends in the ancient Middle East between 12,000 and 400 bce","authors":"Joerg Baten, Giacomo Benati, Arkadiusz Sołtysiak","doi":"10.1038/s41562-023-01700-y","DOIUrl":"10.1038/s41562-023-01700-y","url":null,"abstract":"How did interpersonal violence develop in early human societies? Given that homicide records are only available for the more recent period, much of human history remains outside our purview. In this paper, we study violence trends in the very long run by exploiting a new dataset on cranial trauma and weapon-related wounds from skeletons excavated across the Middle East, spanning the pre-Classical period (around 12,000–400 bce). The dataset includes more than 3,500 individuals. We find evidence that interpersonal violence peaked during the Chalcolithic period (around 4,500–3,300 bce). It then steadily declined during the Early and Middle Bronze Ages (around 3,300–1,500 bce) and increased again between the Late Bronze and the Iron Age (1,500–400 bce). By documenting variations in violence patterns across a vast temporal and geographical scale in an incredibly rich historical setting, we broaden perspectives on the early history of human conflict. Using data on violence-related injuries in more than 3,500 excavated skeletons, Baten et al. reconstruct violence trends in the ancient Middle East from 12,000 to 400 bce, expanding the early history of conflict.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"7 12","pages":"2064-2073"},"PeriodicalIF":29.9,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41183222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-09DOI: 10.1038/s41562-023-01701-x
Trends in interpersonal violence have been reconstructed using data on violence-related injuries from more than 3,500 excavated skeletons from the ancient Middle East. Documenting variations in the patterns of violence in this key historical setting broadens perspectives on the long history of conflict.
{"title":"Bioarchaeological data reveal cycles of violence in the ancient Middle East","authors":"","doi":"10.1038/s41562-023-01701-x","DOIUrl":"10.1038/s41562-023-01701-x","url":null,"abstract":"Trends in interpersonal violence have been reconstructed using data on violence-related injuries from more than 3,500 excavated skeletons from the ancient Middle East. Documenting variations in the patterns of violence in this key historical setting broadens perspectives on the long history of conflict.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"7 12","pages":"2060-2061"},"PeriodicalIF":29.9,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41183220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-09DOI: 10.1038/s41562-023-01714-6
Yiheng Tu, Zhenjiang Li, Libo Zhang, Huijuan Zhang, Yanzhi Bi, Lupeng Yue, Li Hu
Searching for pain-preferential neural activity is essential for understanding and managing pain. Here, we investigated the preferential role of thalamocortical neural dynamics in encoding pain using human neuroimaging and rat electrophysiology across three studies. In study 1, we found that painful stimuli preferentially activated the medial-dorsal (MD) thalamic nucleus and its functional connectivity with the dorsal anterior cingulate cortex (dACC) and insula in two human functional magnetic resonance imaging (fMRI) datasets (n = 399 and n = 25). In study 2, human fMRI and electroencephalography fusion analyses (n = 220) revealed that pain-preferential MD responses were identified 89–295 ms after painful stimuli. In study 3, rat electrophysiology further showed that painful stimuli preferentially activated MD neurons and MD–ACC connectivity. These converging cross-species findings provided evidence for pain-preferential thalamocortical neural dynamics, which could guide future pain evaluation and management strategies. Tu et al. show that the medial-dorsal thalamic nucleus and its connectivity with the anterior cingulate cortex preferentially encode pain in humans and rats.
{"title":"Pain-preferential thalamocortical neural dynamics across species","authors":"Yiheng Tu, Zhenjiang Li, Libo Zhang, Huijuan Zhang, Yanzhi Bi, Lupeng Yue, Li Hu","doi":"10.1038/s41562-023-01714-6","DOIUrl":"10.1038/s41562-023-01714-6","url":null,"abstract":"Searching for pain-preferential neural activity is essential for understanding and managing pain. Here, we investigated the preferential role of thalamocortical neural dynamics in encoding pain using human neuroimaging and rat electrophysiology across three studies. In study 1, we found that painful stimuli preferentially activated the medial-dorsal (MD) thalamic nucleus and its functional connectivity with the dorsal anterior cingulate cortex (dACC) and insula in two human functional magnetic resonance imaging (fMRI) datasets (n = 399 and n = 25). In study 2, human fMRI and electroencephalography fusion analyses (n = 220) revealed that pain-preferential MD responses were identified 89–295 ms after painful stimuli. In study 3, rat electrophysiology further showed that painful stimuli preferentially activated MD neurons and MD–ACC connectivity. These converging cross-species findings provided evidence for pain-preferential thalamocortical neural dynamics, which could guide future pain evaluation and management strategies. Tu et al. show that the medial-dorsal thalamic nucleus and its connectivity with the anterior cingulate cortex preferentially encode pain in humans and rats.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"8 1","pages":"149-163"},"PeriodicalIF":29.9,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41183221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-06DOI: 10.1038/s41562-023-01735-1
Rachel Adams, Ayantola Alayande, Zameer Brey, Brantley Browning, Michael Gastrow, Jerry John Kponyo, Dona Mathew, Moremi Nkosi, Henry Nunoo-Mensah, Diana Nyakundi, Victor Odumuyiwa, Olubunmi Okunowo, Philipp Olbrich, Nawal Omar, Kemi Omotubora, Paul Plantinga, Gabriella Razzano, Zara Schroeder, Andrew Selasi Agbemenu, Araba Sey, Kristophina Shilongo, Shreya Shirude, Matthew Smith, Eric Tutu Tchao, Davy K. Uwizera
The rise of generative AI requires a research agenda grounded in the African context to determine locally relevant strategies for its development and use. With a critical mass of evidence on the risks and benefits that generative AI poses to African societies, the scaled use of this new technology might help to reduce rising global inequities.
{"title":"A new research agenda for African generative AI","authors":"Rachel Adams, Ayantola Alayande, Zameer Brey, Brantley Browning, Michael Gastrow, Jerry John Kponyo, Dona Mathew, Moremi Nkosi, Henry Nunoo-Mensah, Diana Nyakundi, Victor Odumuyiwa, Olubunmi Okunowo, Philipp Olbrich, Nawal Omar, Kemi Omotubora, Paul Plantinga, Gabriella Razzano, Zara Schroeder, Andrew Selasi Agbemenu, Araba Sey, Kristophina Shilongo, Shreya Shirude, Matthew Smith, Eric Tutu Tchao, Davy K. Uwizera","doi":"10.1038/s41562-023-01735-1","DOIUrl":"10.1038/s41562-023-01735-1","url":null,"abstract":"The rise of generative AI requires a research agenda grounded in the African context to determine locally relevant strategies for its development and use. With a critical mass of evidence on the risks and benefits that generative AI poses to African societies, the scaled use of this new technology might help to reduce rising global inequities.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"7 11","pages":"1839-1841"},"PeriodicalIF":29.9,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41168025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-05DOI: 10.1038/s41562-023-01706-6
Luca D. Kolibius, Frederic Roux, George Parish, Marije Ter Wal, Mircea Van Der Plas, Ramesh Chelvarajah, Vijay Sawlani, David T. Rollings, Johannes D. Lang, Stephanie Gollwitzer, Katrin Walther, Rüdiger Hopfengärtner, Gernot Kreiselmeyer, Hajo Hamer, Bernhard P. Staresina, Maria Wimber, Howard Bowman, Simon Hanslmayr
The hippocampus is an essential hub for episodic memory processing. However, how human hippocampal single neurons code multi-element associations remains unknown. In particular, it is debated whether each hippocampal neuron represents an invariant element within an episode or whether single neurons bind together all the elements of a discrete episodic memory. Here we provide evidence for the latter hypothesis. Using single-neuron recordings from a total of 30 participants, we show that individual neurons, which we term episode-specific neurons, code discrete episodic memories using either a rate code or a temporal firing code. These neurons were observed exclusively in the hippocampus. Importantly, these episode-specific neurons do not reflect the coding of a particular element in the episode (that is, concept or time). Instead, they code for the conjunction of the different elements that make up the episode. Kolibius et al. show that individual neurons in the human hippocampus code for particular episodic memories.
{"title":"Hippocampal neurons code individual episodic memories in humans","authors":"Luca D. Kolibius, Frederic Roux, George Parish, Marije Ter Wal, Mircea Van Der Plas, Ramesh Chelvarajah, Vijay Sawlani, David T. Rollings, Johannes D. Lang, Stephanie Gollwitzer, Katrin Walther, Rüdiger Hopfengärtner, Gernot Kreiselmeyer, Hajo Hamer, Bernhard P. Staresina, Maria Wimber, Howard Bowman, Simon Hanslmayr","doi":"10.1038/s41562-023-01706-6","DOIUrl":"10.1038/s41562-023-01706-6","url":null,"abstract":"The hippocampus is an essential hub for episodic memory processing. However, how human hippocampal single neurons code multi-element associations remains unknown. In particular, it is debated whether each hippocampal neuron represents an invariant element within an episode or whether single neurons bind together all the elements of a discrete episodic memory. Here we provide evidence for the latter hypothesis. Using single-neuron recordings from a total of 30 participants, we show that individual neurons, which we term episode-specific neurons, code discrete episodic memories using either a rate code or a temporal firing code. These neurons were observed exclusively in the hippocampus. Importantly, these episode-specific neurons do not reflect the coding of a particular element in the episode (that is, concept or time). Instead, they code for the conjunction of the different elements that make up the episode. Kolibius et al. show that individual neurons in the human hippocampus code for particular episodic memories.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"7 11","pages":"1968-1979"},"PeriodicalIF":29.9,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663153/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41131394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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